Bioinformatics Biostatistics and Computing

The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally-funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has expertise in a broad range of bioinformatics topics, and as such, its goal is to provide a simplified central access point for CCR researchers. Requests for any type of Bioinformatics support should be through the CCBR Project Submission Form. Types of Collaborative Expertise: Next Generation Sequence (NGS) data analysis (RNAseq, scRNAseq, ATAC-seq,… [learn more]

The Advanced Biomedical Computational Sciences (ABCS) group provides technology development, scientific consultation, collaboration and training, research, software development, and high-performance computing support. ABCS encompasses specialized groups focusing on machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, bioinformatic analysis of omics data, and other applications of computational and data science. In addition, ABCS offers access to databases and software resources for bioinformatics, image a… [learn more]

The Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase the understanding of the effect of those interactions on the chemosensitivity of cancer, and create tools that will facilitate that process. Translation of that information will be directed towards the recognition of diagnostic and therapeutic cancer biomarkers and directed cancer therapy Established Technologies: The Miner Suite of Bioinformatic Ap… [learn more]

The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas of applied and computational statistics, as well as related subjects. The team can help with both advanced and standard statistical analyses. These include data-sample comparisons (such as pairwise comparisons and ANOVA), linear or nonlinear regression, linear or nonlinear mixed-effects modeling, survival analysis, power and … [learn more]